Overview

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the power of the OpenAI API to build powerful applications and fine-tune large language models (LLMs). By the end of the course, you'll be equipped with the skills to set up your environment, explore the fundamentals of transformers, and create your own intelligent applications. You’ll also dive deep into prompt engineering, sentiment analysis, and even computer vision, using practical examples to reinforce your knowledge. You'll start by setting up your environment and understanding key concepts, such as AI definitions and acronyms, before diving into the OpenAI API itself. The course also walks you through hands-on examples, such as translating articles, summarizing text, and building a chatbot. As you progress, you'll use cutting-edge OpenAI tools, including text-to-speech, image generation, and computer vision APIs to add even more advanced functionalities to your applications. Towards the end, you will fine-tune your models, deploy applications, and ensure ethical AI usage. By the time you finish, you'll be able to build sophisticated AI-powered applications that leverage OpenAI's vast capabilities, with an emphasis on real-world use cases and deployment. This course is ideal for developers, AI enthusiasts, or anyone interested in working with OpenAI’s advanced language models and APIs. Basic programming skills and familiarity with AI concepts will be beneficial, but anyone eager to explore AI’s potential is welcome to join.

Syllabus

Introduction

In this module, we will introduce you to the course, outline the prerequisites, and walk you through the course syllabus. You'll also familiarize yourself with essential AI definitions and acronyms, ensuring you're ready for the journey ahead.

Setting Up Your Environment

In this module, we will guide you through the process of creating your OpenAI account and obtaining the necessary secret key. You'll also set up your environment and gain an understanding of pricing and how to set effective usage limits for the OpenAI API.

OpenAI API Overview and LLM Overview

In this module, we will provide an overview of the OpenAI API and introduce key concepts like Transformers and language models (LLMs). You will explore prompt engineering techniques, including zero-shot, few-shot, and chain-of-thought prompting, and understand how grounding and encoders contribute to more accurate and efficient AI interactions.

OpenAI API Examples and Demonstrations with Completion API

In this module, we will demonstrate how to use the OpenAI API for translating and summarizing content. You'll learn both the process and the real-world applications of these tasks, seeing the API in action to help you effectively handle text-based challenges like translation and summarization.

OpenAI API Examples and Demonstrations with Chat API

In this module, we will explore how to use the OpenAI API for chat completion, enabling you to build your own chatbot for interactive conversations. You'll also dive into sentiment analysis and classification to better understand the emotional undertones of content, with real-world examples to solidify these concepts.

Use OpenAI API Vision, Text-to-Speech, and Image Generation APIs

In this module, we will explore OpenAI’s Image Generation, Text-to-Speech, and Computer Vision APIs. You'll learn how to create visual content, transcribe blog posts into speech, and analyze images for tasks like counting calories, with practical examples to guide your implementation.

Translating Text and HTML with Google Translate API

In this module, we will guide you through setting up your Google Cloud account and integrating the Translate API for text and HTML translation. You’ll also learn how to translate subtitles and implement both basic and advanced translation techniques to effectively reach a multilingual audience.

Fine-Tuning, Deploying, and Ethics

In this module, we will cover the essentials of fine-tuning models to suit your needs, using OpenAI tools like GPT Builder. You'll learn how to deploy AI applications and gain an understanding of the ethical considerations necessary for responsible AI use, ensuring your applications align with best practices.